Epidemiology and Medical statistics Books

Book SynopsisHealth Promotion: Ideology, Discipline, and Specialism is a thorough examination of the field, advancing clear proposals for its development and future, and is essential reading for those needing an understanding of the theoretical background, historical context, or the challenges that health promotion faces today. Health promotion is a term which has been used varyingly to describe an ideology, a discipline, or a profession, and has subtly different meanings when used in each of these ways. Dr John Kemm presents a nuanced understanding of the complexities of the field, and careful consideration of the theoretical and practical difficulties involved.With the core belief that health promotion has a vital contribution to make to the health of populations, this book is packed with the knowledge and tools necessary to help people contribute in real and practical ways to health promotion. Its timely examination of the strategies and legislation of successive governments in the UK informs thTrade ReviewThe book is well structured and referenced. * Mr Peter Trebiko, Australian & New Zealand Journal of Public Health *Table of Contents1. Introduction - Mapping the issues ; 2. A history of health promotion ; 3. Evidence for health promotion ; 4. The determinants of health ; 5. Assessing need and planning ; 6. What governments can do ; 7. Supporting individual behaviour change ; 8. Health education ; 9. Ethics of health promotion ; 10. The wider public health workforce ; 11. Health promotion specialists ; 12. Settings ; 13. Community development ; 14. Social marketing ; 15. Changing lifestyle with health promotion - Some examples ; 16. Evaluation ; 17. Partnership and influencing people and organisations ; 18. The way forward

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Book SynopsisLooking to the future of the ever-evolving field of psychiatric epidemiology, this new edition covers the many advances in the field since the release of the first. With new content on key topics from bioethics to life course epidemiology, this new edition will continue to be an invaluable reference for clinicians in practice and in training.Table of ContentsSection 1 Basic principles 1: Preface to the second edition a fourth age of psychiatric epidemiologya 2: Martin Prince and Kia-Chong Chua: Measurement in mental health 3: Brandon A. Kohrt and Vikram Patel: Culture and psychiatric epidemiology 4: Buddhika Lalanie Fernando and Athula Sumathipala: Ethics and research in psychiatry: consent, capacity and bioethics 5: Stephani L. Hatch, Billy Gazard and Diana Rose: Ethics and research in psychiatry: engagement with patients and public Section 2 Study design 6: Tamsin Ford, Jayati Das-Munshi, and Martin Prince: Introduction to epidemiological study designs 7: Oana Mitrofan and Rose McCabe: Qualitative research 8: Jayati Das-Munshi: Ecological studies and studies which consider place and health 9: Martin Prince and Jayati Das-Munshi: Cross-sectional surveys 10: Lisa Aschan and Matthew Hotopf: The Case Control Study 11: Laura Goodwin and Nicola Fear: Cohort studies 12: Sube Banerjee, Rod Taylor, and Jennifer Hellier: Randomised controlled trials 13: Tamsin Ford, Rob Stewart, and Johnny Downs: Surveillance, Case Registers and Big Data 14: Marianna Purgato, Giovanni Ostuzzi, and Corrado Barbui: Research synthesis: systematic reviews and meta-analysis Section 3: Interpretation 15: Robert Stewart: Inference 1: chance, bias and confounding 16: Robert Stewart: Inference 2: causation 17: Jo Thompson-Coon and Becca Abbott: Critical Appraisal Section 4: Special topics 18: Lisa Aschan, Jayati Das-Munshi, Richard Hayes, Martin Prince, Marcus Richards, Peter Schofield, and Robert Stewart: Statistical techniques in Psychiatric Epidemiology 19: Frühling Rijsdijk & Paul F. O Reilly: Genetic Epidemiology 1: Overview 20: Craig Morgan, Marta Di Forti, and Helen Fisher: Gene-environment interaction 21: Nicola Voyle, Maximilian Kerz, Steven Kiddle, and Richard Dobson: Bio-informatics and psychiatric epidemiology 22: Margaret Heslin, Paul McCrone, and Daniel Chisolm: Health economics for psychiatric epidemiology 23: Marcus Richards and Rebecca Hardy: Life course epidemiology 24: Valentina Iemmi, Nicole Votruba, and Graham Thornicroft: Evidence-based mental health policy 25: Martin Prince, Robert Stewart, Tamsin Ford, Matthew Hotopf, and Jayati Das-Munshi: Looking to the future

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Book SynopsisPsychotic disorders are a major public health challenge. Psychoses are associated with significant individual, familial, and societal costs. Yet, our understanding of these conditions is limited because the overwhelming majority of research is conducted in a small number of countries in North America, Europe, and Australasia, which together comprise only around 16% of the world''s population. There are consequently substantial gaps in our knowledge of psychoses, and the need for a global perspective is obvious.Psychosis: Global Perspectives comprises two parts: In the first half of the book, the authors review the current evidence base on psychoses around the world by theme, from epidemiology to human rights, highlighting commonalities and differences between settings and illustrating the gaps in our knowledge. The second half of the book synthesises existing research from nine countries in the Global South, providing detailed accounts of ongoing research programmes, local treatment syTable of ContentsPart I Psychosis by Topic 1: Ozden Merve Mollaahmetoglu and James B. Kirkbride: Psychosis across place: The madding crowdDL urban living and psychosis 2: Els van der Ven: Psychosis across persons 1: Minority ethnic groups and migration 3: Charlotte Gayer-Anderson, Stephanie Beards, and Ulrich Reininghaus: Psychosis across persons 2: Poverty, trauma, and sociodevelopment 4: Giulia Segre, Conrad Iyegbe, Sarah Tosato, Geraldo Busatto, and Paola Dazzan: Psychosis across persons 3: Genes, biology, and neurodevelopment 5: Jonathan K. Burns: Psychosis across persons 4: Course and outcome 6: Alex Cohen: Mortality and psychosis 7: Neely Anne Laurenzo Myers: Psychosis, phenomenology, and culture: Welcoming the 'black box' 8: Ashok Malla and Srividya N. Iyer: Services and systems of care for psychotic disorders: A global perspective 9: Ursula M. Read and Erminia Colucci: Human rights and psychosis Part II Psychosis by Place 10: Cristina Marta Del-Ben, Rosana Shuhama, and Paulo Rossi Menezes: Ribeirao Preto, Brazil: Incidence and risks 11: Gerard Hutchinson: Trinidad and Tobago 12: Oye Gureje, Akin Ojagbemi, and Oluyomi Esan: Nigeria 13: Charlotte Hanlon, Alex Cohen, and Atalay Alem: Ethiopia 14: Jonathan K. Burns and Bonginkosi Chiliza: KwaZulu-Natal, South Africa 15: Dzmitry Krupchanka, Petr Winkler, Arunas Germanavicius, Jan Pfeiffer, Cyril Höschl, Oksana Plevachuk, and Orest Suvalo: Central and Eastern Europe 16: Rangaswamy Thara, Sujit John, Ramachandran Padmavati, Greeshma Mohan, and Vijaya Raghavan: Chennai, India 17: Christy Lai Ming Hui, Wing Chung Chang, Sherry Kit Wa Chan, Edwin Ho Ming Lee, and Eric Yu Hai Chen: Hong Kong 18: Shuiyuan Xiao and Lu Niu: Psychoses and mental health services in mainland China 19: Tessa Roberts, Alex Cohen, and Craig Morgan: Future directions

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Book SynopsisEpidemiology Matters offers a new approach to understanding and identifying the causes of disease -- and with it, how to prevent disease and improve human health. Utilizing visual explanations and examples, this text provides an accessible, step-by-step introduction to the fundamentals of epidemiologic study, from design to analysis. Across fourteen chapters, Epidemiology Matters teaches the individual competencies that underlie the conduct of an epidemiologic study: identifying populations; measuring exposures and health indicators; taking a sample; estimating associations between exposures and health indicators; assessing evidence for causes working together; assessing internal and external validity of results. With its consequentialist approach -- designing epidemiologic studies that aim to inform our understanding, and therefore improve public health -- Epidemiology Matters is an introductory text for the next generation of students in medicine and public health.Trade ReviewEpidemiology Matters makes a nice addition to the existing roster of introductory epidemiology texts. The authors provide a clear introduction to central epidemiologic concepts, including causality, internal validity, external validity, study design, and measures of association using a step-bystep approach. Their well-designed website provides useful supplementary materials... The book will be useful to students who take only one course in epidemiology, as well as to scholars who decide to pursue epidemiology in more depth. * American Journal of Epidemiology *This is a unique addition to the ever-expanding library of introductory epidemiology books. The material is easily accessible to beginners, and the consequentialist approach brethes new life into the field.Table of Contents1. An introduction ; 2. What is a population and what is population health? ; 3. What is an exposure, what is a disease, and how do we measure them? ; 4. What is a sample? ; 5. Watching a sample, counting cases ; 6. Are exposures associated with health indicators? ; 7. What is a cause? ; 8. Is the association causal, or are there alternative explanations? ; 9. How do non-causal associations arise? ; 10. How can we mitigate against non-causal associations in design and analysis? ; 11. When do causes work together? ; 12. Do the results matter beyond the study sample? ; 13. How do we identify disease early to minimize its consequences? ; 14. Conclusion: Epidemiology and what matters most

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Book SynopsisThis completely updated edition of Exposure Assessment in Environmental Epidemiology offers a practical introduction to exposure assessment methodologies in environmental epidemiologic studies. In addition to methods for traditional methods -- questionnaires, biomonitoring -- this new edition is expanded to include geographic information systems, modeling, personal sensoring, remote sensing, and OMICs technologies. In addition, each of these methods is contextualized within a recent epidemiology study, maximizing illustration for students and those new to these to these techniques. With clear writing and extensive illustration, this book will be useful to anyone interested in exposure assessment, regardless of background.Trade ReviewIt is hard not to be excited about this book. It can be challenging to put biology, mathematics, the healing arts, and earth sciences together in a meaningful manner that yields useful exposure assessments, but Professor Nieuwenhuisjen's team has done just that with this second edition. . . This book is remarkable in terms of its clarity and completeness. * J. Thomas Pierce, MBBS, PhD (Navy Environmental Health Center); Doody's Notes *Table of ContentsSection I: Methods ; 1: Introduction to exposure assessment ; Mark J Nieuwenhuijsen ; 2: Questionnaires ; Mark J Nieuwenhuijsen ; 3: Environmental measurement and modelling: introduction and geographical information systems ; John Gulliver /David Briggs/ Kees de Hoogh ; 4: Environmental measurement and modelling: source-dispersion and micro-environmental models ; Kees de Hoogh/David Briggs/John Gulliver ; 5: Personal exposure monitoring and modelling ; Mark J Nieuwenhuijsen ; 6: Biological monitoring ; Marie Pedersen/Mark J Nieuwenhuijsen ; 7: Occupational exposure assessment in industry- and population-based epidemiologic studies. ; Melissa C. Friesen/Jerome Lavoue/ Kay Teschke/Martie Van Tongeren ; 8: Pharmacokinetic modeling in epidemiology ; Marc-Andre Verner ; 9: Dermal and inadvertent ingestion exposure assessment ; Sean Semple and John W Cherrie ; 10: Exposure measurement error: consequences and design issues ; Ben Armstrong and Xavier Basagana ; Section II: Current topics ; 11: Exposure assessment for biological agents in environmental epidemiology ; Dick Heederik/Heike Schmitt ; 12: Particulate Matter; exposure assessment and health ; Helen H. Suh ; 13: Land use regression models for outdoor air pollution ; Gerard Hoek, Rob Beelen, Bert Brunekreef ; 14: The Early Life Exposome - Concept and Implementation in Birth Cohorts ; Martine Vrijheid ; 15: Remote sensing ; Payam Dadvand ; 16: Exposure assessment of water contaminants ; Cristina M Villanueva/Patrick Levallois ; 17: The development of biomarkers ; Clifford P. Weisel ; 18: Radiofrequency (RF) Exposure, measurements and health effects ; Frank de Vocht/Martie van Tongeren

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Book SynopsisSocial epidemiology is the study of how the social world influences -- and in many cases defines -- the fundamental determinants of health. This link was substantiated in the first edition of Social Epidemiology, and the generation of research that followed has fundamentally changed the way we understand epidemiology and public health. This much-awaited second edition elevates the field again, first by codifying the last decade of research, then by extending it to examine how public policies impact health. The new edition includes: 11 fully updated chapters, including entries on the links between health and discrimination, income inequality, social networks, and emotion Four all-new chapters on the role of policies in shaping health, including how to translate evidence into action with multi-level interventions Updated references, detailing the best research over the last two decadesThe result is a bold, brilliant text that will serve the new world of epidemiology in which scientists bTrade ReviewAn extraordinary work of scholarship. Its excellence provides assurance that it will become a classic. * Leon Eisenberg, New England Journal of Medicine *[Social Epidemiology] is brilliant. * Journal of Public Health Medicine *In providing a resource that explicates the social determinants of illness and helps the reader to understand the impact of social organization and structure of health and access to healthcare, the editors make this book a valuable contribution to the literature on psychosocial epidemiology. * Doody's *Provocative and stimulating... a great resource. * International Journal of Epidemiology *An important book, and a critical and timely addition to the field. * The Epidemiology Monitor *Table of ContentsForeword ; Leonard Syme ; Chapter 1 ; A Historical Framework for Social Epidemiology: Social Determinants of Population Health ; Lisa F. Berkman and Ichiro Kawachi ; Chapter 2 ; Socioeconomic Status and Health ; M. Maria Glymour, Mauricio Avendano, and Ichiro Kawachi ; Chapter 3 ; Discrimination and Health Inequities ; Nancy Krieger ; Chapter 4 ; Income Inequality ; Ichiro Kawachi and SV Subramanian ; Chapter 5 ; Working Conditions and Health ; Lisa F. Berkman, Ichiro Kawachi, And Tores Theorell ; Chapter 6 ; Labor Markets, Employment Policies, and Health ; Mauricio Avendano and Lisa F. Berkman ; Chapter 7 ; Social Network Epidemiology ; Lisa F. Berkman and Aditi Krishna ; Chapter 8 ; Social Capital, Social Cohesion, and Health ; Ichiro Kawachi and Lisa F. Berkman ; Chapter 9 ; Affective States and Health ; Laura D. Kubzansky, Ashley Winning, and Ichiro Kawachi ; Chapter 10 ; Changing Health Behaviors in a Social Context ; Cassandra Okechukwu, Kirsten Davison, and Karen Emmons ; Chapter 11 ; Experimental Psychosocial Interventions ; Thomas A. Glass, Amii M. Kress, and Lisa F. Berkman ; Chapter 12 ; Policies as Tools for Research and Translation in Social Epidemiology ; M .Maria Glymour ; Chapter 13 ; Applications of Behavioral Economics to Improve Health ; Ichiro Kawachi ; Chapter 14 ; Biological Pathways Linking Social Conditions and Health: Plausible Mechanisms and Emerging Puzzles ; Laura D. Kubzansky, Teresa E. Seeman, M .Maria Glymour ; Chapter 15 ; From Science to Policy ; Michael Marmot and Jessica Allen

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Book SynopsisMolecular understanding of cancer and cancer progression is at the forefront of many research programs today. High-throughput array technologies and other modern molecular techniques produce a wealth of molecular data about the structure, and function of cells, tissues, and organisms. Correctly analyzed and interpreted these data hold the promise of bringing new markers for prognostic and diagnostic use, for new treatment schemes, and of gaining new biological insight into the evolution of cancer and its molecular, pathological, and clinical consequences.Aimed at graduates and researchers, this book discusses novel advances in informatics and statistics in molecular cancer research. Through eight chapters from carefully chosen experts it brings the reader up to date with specific topics in cancer research, how the topics give rise to development of new informatics and statistics tools, and how the tools can be applied. The focus of the book is to give the reader an understanding of keyTable of ContentsPREFACE ; 1. Association Studies ; 2. Methods for DNA Copy Number Derivations ; 3. Methods for Derivation of LOH and Allelic Copy Numbers Using SNP Arrays ; 4. Bioinformatics of gene expression and copy number data integration ; 5. Analysis of DNA Methylation in Cancer ; 6. Pathway Analysis: Pathway Signatures and Classification ; 7. Two Methods for Comparing Genomic Data Across Independent Studies in Cancer Research: Meta-analysis and Oncomine Concepts Map ; 8. Bioinformatic Approaches to the Analysis of Alternative Splicing Variants in Cancer Biology ; INDEX

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Book SynopsisThis self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.Trade ReviewUnlike many textbooks in epidemiology, there is no long wordy preamble. The characteristic style is set straight away. The book is also highly successful in presenting a unified approach. What is also striking, is that the authors have managed to say something useful and clear about many of the all too numerous minor problems that are inevitably encountered in practice. In my view this is simply an excellent text. * Andrew Pickles, Institute of Psychiatry, London, Statistical Methods in Medical Research 1994:3 *An excellent text which provides the simplest and most logical exposition that I have seen of the statistical foundations for current techniques for analysing epidemiological data, and provides an excellent preparation for more detailed treatments. * Australasian Epidemiological Association News, 12/94 *Provides probably the most coherent and logical exposition of the use of statistical models in epidemiology that is currently available ... an excellent text which provides the simplest and most logical exposition that I have seen of the statistical foundations for current techniques for analysing epidemiological data, and provides an excellent preparation for more detailed treatments. * AEA News 12/94 *Clayton and Hills have filled the gap with an interesting text which is based mainly on probability models and likelihood. This is an unusual approach. but is precisely what is missing in many other textbooks for epidemiologists ... this is an important text for those interested in understanding statistical reasoning in epidemiology. * Maria Blettner, International Journal of Epidemiology *The authors have produced a text that will be extremely valuable to those teaching epidemiologic methods... Statistical Models in Epidemiology courageously cuts new paths into the traditional epidemiologic approach to statistical training. * Journal of the American Statistics Association *This book gives some very clear explanations ... Each point is well illustrated with small examples and there are exercises throughout. It is pleasing to see full solution to all the exercises. * Public Health (1994) 108 *Table of ContentsI. PROBABILITY MODELS AND LIKELIHOOD; II. REGRESSION MODELS; III. APPENDICES

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Book SynopsisThis second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.Trade ReviewThe book is readable, well-written, and amply illustrated * Technometrics, August 1995 (previous edition) *It belongs in the possession of every statistician who encouters longitudinal data. * Journal of the American Statistical Association *. . . provides an excellent bridge between novel concepts in theoretical statistics and their potential use in applied research. * Statistics in Medicine *The topics covered are too numerous to dwell on here ... If your work involves longitudinal data and you wish to update, this book will serve you very well. As a quick look-up, it is very useful. * Pharmaceutical Statistics *The authors conclude each chapter with a helpful summary or conclusion, often indicating further reading. Helpfully, they also mention the topics that they have chosen not to present, together with other recommended books for you to follow up ... They have also chosen a good selection of examples, many of them medical, with which the various methods are clearly illustrated. * Pharmaceutical Statistics *Readers with interests across a wide spectrum of application areas will find the ideas relevant and interesting ... The book is readable and well written ... It belongs to the possession of every statistician who encounters longitudinal data. * Zentralblatt MATH *Table of Contents1. Introduction ; 2. Design considerations ; 3. Exploring longitudinal data ; 4. General linear models ; 5. Parametric models for covariance structure ; 6. Analysis of variance methods ; 7. Generalized linear models for longitudinal data ; 8. Marginal models ; 9. Random effects models ; 10. Transition models ; 11. Likelihood-based methods for categorical data ; 12. Time-dependent covariates ; 13. Missing values in longitudinal data ; 14. Additional topics ; Appendix ; Bibliography ; Index

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Book SynopsisIn recent years, species and ecosystems have been threatened by many anthropogenic factors manifested in local and global declines of populations and species. Although we consider conservation medicine an emerging field, the concept is the result of the long evolution of transdisciplinary thinking within the health and ecological sciences and the better understanding of the complexity within these various fields of knowledge. Conservation medicine was born from the cross fertilization of ideas generated by this new transdisciplinary design. It examines the links among changes in climate, habitat quality, and land use; emergence and re-emergence of infectious agents, parasites and environmental contaminants; and maintenance of biodiversity and ecosystem functions as they sustain the health of plant and animal communities including humans. During the past ten years, new tools and institutional initiatives for assessing and monitoring ecological health concerns have emerged: landscape epiTable of ContentsIntroduction ; (A. Alonso Aguirre and Sara E. Howard) ; Part I: Conservation Medicine: Ecological Health in Practice ; 1. Conservation Medicine: Ontogeny of an Emerging Discipline ; A. Alonso Aguirre, G.M. Tabor and Richard S. Ostfeld ; 2. EcoHealth: Creating a Truly a Global Transdiscipline ; Bruce A. Wilcox, Pierre Horwitz, and A. Alonso Aguirre ; 3. One Health, One Medicine ; Laura H. Kahn, Thomas P. Monath, Bob H. Bokma, Paul Gibbs, A. Alonso Aguirre ; 4. Biodiversity and Human Health ; Aaron Bernstein ; 5. An Ecosystem Service of Biodiversity - The Protection of Human Health Against Infectious Disease ; Felicia Keesing and Richard S. Ostfeld ; 6. Parasite Conservation, Conservation Medicine and Ecosystem Health ; Andres Gomez, Elizabeth Nichols and Susan L. Perkins ; 7. Stress and Immunosuppression as Factors in the Decline and Extinction of Populations: The Concepts, the Evidence and the Challenges ; Heribert Hofer and Marion L. East ; Part II: Anthropogenic Change and Conservation Medicine ; 8. Predicted Impacts of Climate on Emerging Diseases: A Model for Global Change ; Raina K. Plowright, Paul C. Cross, Gary M. Tabor, Emily Almberg, Leslie Bienen, and Peter Hudson ; 9. Wildlife Health in a Changing North: A Model for Global Environmental Change ; Morten Tryland, Susan Kutz and Patricia Curry ; 10. Habitat Fragmentation and Infectious Disease Ecology ; Gerardo Suzan, Fernando Esponda, Roberto Carrasco-Hernandez, A. Alonso Aguirre ; 11. Wildlife Trade and the Spread of Disease ; Katherine F. Smith, Lisa M. Schloegel, and Gail E. Rosen ; 12. Bushmeat and Infectious Disease Emergence ; Matthew LeBreton, Brian L. Pike, Karen E. Saylors, Joseph L. Diffo, Joseph N. Fair, Anne W. Rimoin, Nancy Ortiz, Cyrille F. Djoko, Ubald Tamoufe, Nathan D. Wolfe ; 13. Human Migration, Border Controls and Infectious Disease Emergence ; Anne M. Alexander, David C. Finnoff and Jason F. Shogren ; Part III: Emerging Infectious Diseases and Conservation Medicine ; 14. Are Bats Exceptional Viral Reservoirs? ; Kevin J. Olival, Jonathan H. Epstein, Lin-Fa Wang, Hume E. Field and Peter Daszak ; 15. SARS: A Case Study for Factors Driving Disease Emergence ; Wolfgang Preiser ; 16. H5N1 Highly Pathogenic Avian Influenza: Breaking the Rules in Disease Emergence ; Thijs Kuiken and Timm Harder ; 17. Bartonellosis: An Emerging Disease of Humans, Domestic Animals and Wildlife ; Ricardo G. Maggi, Craig A. Harms, Edward B. Breitschwerdt ; 18. Brucella ceti and Brucella pinnipedialis Infections in Marine Mammals ; Jacques Godfroid, Ingebjorg Nymo, Morten Tryland, Axel Cloeckaert, Thierry Jauniaux, Adrian M. Whatmore, Edgardo Moreno, Geoffrey Foster ; 19. Infectious Cancers in Wildlife ; Hamish McCallum and Menna Jones ; 20. From Protozoan Infection in Monarch Butterflies to Colony Collapse Disorder in Bees: Are Emerging Infectious Diseases Proliferating in the Invertebrate World? ; Rebecca Bartel and Sonia Altizer ; 21. Fungal Diseases in Neotropical Forests Disturbed by Humans ; Julieta Benitez-Malvido ; 22. Emerging Infectious Diseases in Fisheries and Aquaculture ; E. Scott Weber ; 23. Southern Sea Otters: Sentinels of Land-Sea Pathogens and Pollutants ; David A. Jessup and Melissa A. Miller ; Part IV: Ecotoxicology and Conservation Medicine ; 24. Ecotoxicology: Bridging Wildlife, Humans and Ecosystems ; Jeffrey M. Levengood and Val R. Beasley ; 25. Wildlife Toxicology: Environmental Contaminants and their National and International Regulation ; K. Christiana Grim, Anne Fairbrother, Barnett A. Rattner ; 26. Marine Biotoxins: Emergence of Harmful Algal Blooms as Health Threats to Marine Wildlife ; Spencer E. Fire, Frances M. Van Dolah ; 27. Beluga from the St Lawrence Estuary: A Case Study of Cancer and Polycyclic Aromatic Hydrocarbons ; Daniel Martineau ; Part V: Place Based Conservation Medicine ; 28. Sense and Serendipity: Conservation and Management of Bison in Canada ; Margo J. Pybus and Todd K. Shury ; 29. Pathogens, Parks and People: The Role of Bovine Tuberculosis in South African Conservation ; Claire Geoghegan ; 30. Disease Ecology and Conservation of Ungulates, Wild Rabbits and the Iberian Lynx in the Mediterranean Forest ; Fernando Martinez, Guillermo Lopez and Christian Gortazar ; 31. The Kibale EcoHealth Project: Exploring the Connections among Human Health, Animal Health, and Landscape Dynamics in Western Uganda ; Tony L. Goldberg, Sarah B. Paige and Colin A. Chapman ; 32. Conservation Medicine in Brazil: Case Studies of Ecological Health in Practice ; Paulo Rogerio Mangini, Rodrigo Silva Pinto Jorge, Marcelo Renan de Deus Santos, Alessandra Nava, Carlos Eduardo da Silva Verona, Maria Fernanda Vianna Marvulo, Jean Carlos Ramos Silva ; 33. Linking Conservation of Biodiversity and Culture with Sustainable Health and Wellness: The Itzama Model and Global Implications for Healing Across Cultures ; Todd J. Pesek, Victor Cal, Kevin Knight, John Arnason ; 34. Biodiversity and Human Health: Using Plants and Traditional Ethnomedical Knowledge to Improve Public Health and Conservation Programs in Micronesia ; Michael J. Balick, Katherine Herrera, Francisca Sohl, Wayne Law, Roberta Lee and William C. Raynor ; Part VI: Applied techniques Of Conservation Medicine ; 35. Human Health in the Biodiversity Hotspots: Applications of Geographic Information System Technology and Implications for Conservation ; Larry J. Gorenflo ; 36. Determining when Parasites of Amphibians are Conservation Threats to their Hosts: Methods and Perspectives ; Trent W. J. Garner, Cheryl J. Briggs, Jon Bielby and Matthew C. Fisher ; 37. Strategies for Wildlife Disease Surveillance ; Jonathan M. Sleeman, Christopher J. Brand, Scott D. Wright ; 38. Wildlife Health Monitoring in North America: From Sentinel Species to Public Policy ; Michelle M. Willette, Julia B. Ponder, Dave L. McRuer, Edward E. Clark, Jr. ; 39. The Establishment of Serum Banks for Eco-Epidemiological Investigations of Infectious Diseases in Marine Mammals ; A. Alonso Aguirre, Melinda K. Rostal, Thomas J. Keefe ; 40. Sorta Situ: The New Reality of Management Conditions for Wildlife Populations in the Absence of 'Wild' Spaces ; Barbara A. Wolfe, Roberto F. Aguilar, A. Alonso Aguirre, Glenn H. Olsen, Evan S. Blumer ; 41. Modeling Population Viability and Extinction Risk in the Presence of Parasitism ; Patrick Foley and Janet E. Foley ; 42. Using Mathematical Models in a Unified Approach to Predicting the Next Emerging Infectious Disease ; Tiffany L. Bogich, Kevin J. Olival, Parviez R. Hosseini, Sebastian Funk, Ilana L. Brito, Jonathan H. Epstein, John S. Brownstein, Damien O. Joly, Marc A. Levy, Kate E. Jones, Stephen S. Morse, A. Alonso Aguirre, William B. Karesh, Jonna AK Mazet, and Peter Daszak ; Index

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Book SynopsisAcross the last forty years, epidemiology has developed into a vibrant scientific discipline that brings together the social and biological sciences, incorporating everything from statistics to the philosophy of science in its aim to study and track the distribution and determinants of health events. A now-classic text, the second edition of this essential introduction to epidemiology presents the core concepts in a unified approach that aims to cut through the fog and elucidate the fundamental concepts. Rather than focusing on formulas or dogma, the book presents basic epidemiologic principles and concepts in a coherent and straightforward exposition. By emphasizing a unifying set of ideas, students will develop a strong foundation for understanding the principles of epidemiologic research.Trade ReviewThe small size and relaxed narrative style almost persuade the reader that they are enjoying an interesting novel, and, unlike bulkier tomes, it lends itself to reading on the move or at home. However, far from light reading, the content provides indepth, well constructed descriptions of theories and concepts. These are supported by practical examples, using widely-known studies and common conditions, which even someone at the beginning of their epidemiology education could easily connect with with... In this respect. the book is useful to the graduate student and encourages an appreciation of the public health considerations common to many diseases and conditions. The narrative style is used to great advantage in some chapters, to discuss causation, measures of disease occurrence and epidemiology in clinical settings, as well as in the new chapters in this edition which describe the pioneers of epidemiology and infectious disease epidemiology. * Public Health Today, June 2013 *In summary, this book is a brilliant introductory book to learn concepts of epidemiology. In contrast to the many available introductory books (several of them written in a naive way), this book does not trivialize these concepts. It perfectly prepares the reader for the reference book of epidemiologic methods entitled "Modern Epidemiology" by Rothman et al... I am not aware of any other introductory book of epidemiology that presents these many epidemiologic concepts. It is a perfect--although demanding--reader for an introductory course of epidemiology in master programs of epidemiology, public health, and at medical schools. * European Journal of Epidemiology *If you want a thorough grounding in technical terms, Rothman is unsurpassed. * Tidsskrift for Den norske legeforening, Feb 2013 *This is an excellent introduction to the principles and concepts of epidemiology. In a little over 200 pages Rothman covers all the essential topics for an introductory graduate level course in epidemiology. * European Journal of Public Health *Epidemiology: An Introduction is a superb addition to other publications that have appeared in the past decade. The author has achieved the stated goal of providing a coherent overview of epidemiologic principles and concepts. * American Journal of Epidemiology *Kenneth Rothman has taken the time to write a short and excellent introductory epidemiology textbook....Frequently introductory texts strive for brevity through superficiality of coverage. Rothman chose a different approach: selectivity of subject matter. As a result, Epidemiology: An Introduction provides an exceptionally lucid overview of analytic epidemiology.... The mix of text, graphics, tables, and sidebars that is used throughout the book proves very useful in explicating important concepts such as confounding, interaction, study design, and biases, which may be challenging to the student in an introductory course.... The clarity of expression in this book should be an inspiration to other authors and teachers of epidemiology. * The Epidemiology Monitor *This text is ideal for beginners in epidemiological statistics to learn the terminology and understand how and when to use statistical tools. The text focuses on concepts, not on mathematics, and discusses statistical techniques in the context of the real problems they can solve. This text bridges the gap between what is taught in an introductory statistics text and what you need to be an effective researcher and analyst. * STATA *Students and scholars who pursue epidemiology as a career should find this book a useful addition to their library ... a worthwhile new edition * Doody's Notes, April 2013 *Table of Contents1. Introduction to Epidemiologic Thinking ; 2. Pioneers in Epidemiology and Public Health ; 3. What is Causation? ; 4. Measuring Disease Occurrence and Causal Effects ; 5. Types of Epidemiologic Studies ; 6. Infectious Disease Epidemiology ; 7. Dealing with Biases ; 8. Random Error and the Role of Statistics ; 9. Analyzing Simple Epidemiologic Data ; 10. Controlling Confounding by Stratifying Data ; 11. Measuring Interactions ; 12. Using Regression Models in Epidemiologic Analysis ; 13. Epidemiology in Clinical Settings ; Appendix ; Index

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Book SynopsisOriginating in Cuba in 1897, yellow fever shuttered businesses, paralyzed trade, and caused tens of thousand of people living in the southern United States to abandon their homes and flee for their lives. This title uncovers how the devastating power of this virus profoundly shaped the relationship between the two countries.Trade Review"This elegant study not only reshapes our understanding of U.S.-Cuban relations but also forces us to rethink the broader history of U.S. public health interventions all over the world. It is a model for doing transnational history." - Paul Sutter, University of Colorado"

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Book SynopsisOriginating in Cuba in 1897, yellow fever shuttered businesses, paralyzed trade, and caused tens of thousand of people living in the southern United States to abandon their homes and flee for their lives. This title uncovers how the devastating power of this virus profoundly shaped the relationship between the two countries.Trade Review"This elegant study not only reshapes our understandings of U.S.-Cuban relations but also forces us to rethink the broader history of U.S. public health interventions all over the world. It is a model for doing transnational history." - Paul Sutter, University of Colorado"

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Book SynopsisPresents an extended case study of the 20th-century AIDS epidemic and the cultural circumstances from which it emerged. The book brings together anthropology, demography and epidemiology to explain how the Chagga people of Tanzania in Africa experience AIDS.

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Book SynopsisPresents an extended case study of the 20th-century AIDS epidemic and the cultural circumstances from which it emerged. The book brings together anthropology, demography and epidemiology to explain how the Chagga people of Tanzania in Africa experience AIDS.

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Book SynopsisPolio was the most dreaded disease of twentieth-century America. Whenever and wherever it struck, hospitals filled with victims of the virus. This book focuses on the personal stories of the men and women who had acute polio and lived with its crippling consequences. It also details each physical and emotional stage of the disease.Trade Review"Wilson succeeds admirably on his own terms - taking ownership of the disease from medics (and from the academics and theoreticians) and giving it back to the patients who actually experienced it.... Daniel Wilson's book is a sobering indictment of the treatment of disabled people in mid-century America that can be read with profit, and, it is to be hoped, without complacency, by any practitioner today." - Seamus Sweeney, Times Literary Supplement "[Daniel J. Wilson] has done an admirable job of assembling more than 150 first-person accounts into a coherent narrative.... In the America of 2005, new cases of polio are extraordinarily rare; the World Health Organization hopes to eradicate it completely by 2008. But Mr. Wilson reminds us that more than half a million Americans are still living with its consequences." - Gordon Haber, New York Sun "For readers who... did not live during the prevaccine period, Living with Polio provides an excellent survey of the stories of those who had the misfortune of being struck by the disease." - Mark Pallansch, Science"

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Book SynopsisEpidemiology is one of the fastest growing and increasingly important sciences. This thorough analysis lays out the conceptual foundations of epidemiology, identifying traps and setting out the benefits of properly understanding this fascinating and important discipline, as well as providing the means to do so.Table of ContentsPreface Acknowledgements Abbreviations Glossary 1. Why Philosophy of Epidemiology? 2. Philosophical and Epidemiological Basics 3. The Causal Interpretation Problem 4. Causal Inference, Translation, and Stability 5. Stable Causal Inference 6. Prediction 7. Making and Assessing Epidemiological Predictions 8. Puzzles of Attributability 9. Risk Relativism, Interaction, and the Shadow of Physics 10. Multifactorialism and Beyond 11. Epidemiology and the Law 12. Conclusion: Thinking is Good For You Notes Cases References Index

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Book SynopsisA well-informed portrait, part social critique, part memoir, of sexual mores and homosexuality in provincial Mexico.Trade ReviewWilson offers an engaging, fact-based portrait of individual Mexicans facing the consequences of AIDS in a clinic in the Yucatan; at the same time he explores the problems and potential consequences faces by medical personnel attempting to treat the disease.A well-informed portrait of sexual mores and homsexuality in provincial Mexico. Library Journal

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Book SynopsisTrade ReviewThe book can engage and enlighten regarding the complex context in which known and suspected health risks are identified, explored, and acted on. -- Barbara Gastel, M.D., M.P.H The New England Journal of Medicine A strong, valuable corrective to public understanding of the debate of environmental hazards... Highly Recommended. CHOICE Reading and reflecting on the thesis of this book can only help epidemiologists be more aware of our place in society and thus be more effective contributors. -- David A. Savitz American Journal of Epidemiology With clarity and dispassion, Geoffrey C. Kabat challenges widespread beliefs that secondhand smoke, low levels of radon, and other ostensible environmental nemeses are certain killers. In making his case, Kabat draws extensively on scientific evidence while shunning rhetoric and political posturing. The result is an admirable search for scientific truth amid a sea of conflicting and often uninformed opinions. -- Leonard Cole, Rutgers University Geoffrey C. Kabat, a respected epidemiologist, provides an insider's account of how a number of ostensible health hazards have been blown out of proportion. While we face a daily barrage of health scares, Kabat cuts through the confusion and provides a lucid and rigorous rationale for rejecting much of the fear culture that permeates our society. -- Shelly Ungar, University of Toronto This book does an exceptionally good job, first by putting epidemiology within the context of public health and then by explaining key terms, concepts, and methods. It provides a penetrating treatment of a difficult and complex subject in a readily understandable way. -- Steven D. Stellman, Mailman School of Public Health, Columbia University "Kabat, who wrote Hyping Health Risks--a fascinating and detailed examination of how we fell for certain, illusory environmental hazards--is possibly the only epidemiologist in the world to have also published a book on Dostoyevsky (he got a Ph.D in Russian and comparative literature from Columbia before switching tracks). And the background in literary analysis and theory adds a crucial ability to explain why we, as a society, are prone to turning hypothetical risks into "social facts." The upshot is that most public alarms about health risks dispense with the tools required to make sense of the alarm--and we end up with "disembodied findings" and ideology." -- Trevor Butterworth Forbes "Health scares come and go, but they often have a tenuous scientific basis. Kabat, a cancer epidemiologist, systematically rips through cancer alerts that overrode scientific rigor in recent decades. In so doing, he dispels the dubious science underlying the scares and explains how public confusion can come about. ... He extends his critique to debates linking radon gas exposure and secondhand cigarette smoke exposure to lung cancer. Those chapters will ruffle some feathers, but Kabat is unafraid of controversy." -- Nathan Seppa ScienceNews rich and valuable... -- Trevor Butterworth Forbes.comTable of ContentsPreface Abbreviations 1. introduction: Toward a Sociology of Health Hazards in Daily Life 2. Epidemiology: Its Uses, Strengths, and Limitations 3. Does the Environment Cause Breast Cancer? 4. Electromagnetic Fields: The Rise and Fall of a "Pervasive Threat" 5. The Science and Politics of Residential Radon 6. The Controversy Over Passive Smoking: A Casualty of the "Tobacco Wars" 7. Conclusion Appendix A: List of Interviews Appendix B: How Findings Can Be Reported in a Way That Puts Them in Perspective Notes Glossary Bibliography Credits Index

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Book SynopsisIn The Alchemy of Disease, John Whysner offers an accessible and compelling history of toxicology and its key findings. He details the experiments and discoveries that revealed the causal connections between chemical exposures and diseases.Trade ReviewThe field of toxicology has become increasingly sophisticated as our knowledge of biology continues to evolve. As a scientist, it is enjoyable to read how John Whysner presents the information, and I have no doubt that the general public and students will find it equally enjoyable and informative. -- Samuel M. Cohen, Havlik-Wall Professor of Oncology, University of Nebraska Medical CenterI often tell students in the biological sciences that the best way to learn about a topic is not just to learn what knowledge has been discovered, but rather how the discoveries were made. Whysner’s scholarly yet reader-friendly book reads like a series of fascinating stories derived from his lifetime of experience in the world of toxicology and public health, and what a storyteller he is! The book shows him to be a remarkable science historian as each link between chemical exposures and human diseases is placed in a captivating historical context. The extent to which Whysner has been intimately involved in major discoveries is absolutely mind-boggling. -- Joseph H. Graziano, Mailman School of Public Health, Columbia UniversityWhysner provides an honest evaluation of the science of toxicology, engaging readers with fascinating, well-paced narratives of subjects such as chronic arsenic poisoning. -- Katherine Watson, Oxford Brookes UniversityWhysner's book is a valuable addition to the history of toxicology and allied fields, as it benefits from the institutional knowledge of a professional working in the field of toxicology for five decades. The author brings to light technical aspects of the science that some may not be aware of, especially concepts of risk assessment, dose response, and links between cancer rates and the reality of the state of the science. -- Dale A. Stirling, Consultant in Environmental & Public Health History and author of The Nanotechnology Revolution: A Global Bibliographic Perspective and A Bibliographic Guide to North American Industry: History, Health & Hazardous WasteWhysner ... delivers an illuminating overview of the history of toxicology. Serious students of medical history will appreciate this detailed, historical account of toxicology’s contributions to better health. * Publisher's Weekly *We all have only so much time on this Earth and so much to learn. This fine book presents an efficient and highly enjoyable way to learn the principles and history of the monumental subject of toxicology. -- Judge Lawrence P. Riff * Los Angeles Daily Journal *Table of ContentsAcknowledgmentsIntroductionPart I: Why Do We Need Toxicology?1. Cancer Clusters: Truth Can Be Obscure2. Death from Arsenic and Venoms: Truth Can Be Obvious3. Paracelsus: The Alchemist at Work4. Mining and the Beginnings of Occupational Medicine5. The Chemical Age6. The Bioassay BoomPart II: How Do We Study Toxicology, and What Have We Learned?7. Lead: A Heavy Metal Weighing Down the Brain8. Rachel Carson: Silent Spring Is Now Noisy Summer9. The Study of Cancer10. How Are Carcinogens Made?11. Some Carcinogens Directly Affect Genes12. Cancer Caused by Irritation13. Cigarette Smoking: Black, Tarry Lungs14. What Causes Cancer?Part III: How Do We Use Toxicology?15. Protecting Workers from Chemical Diseases16. The Importance of Having a Good Name17. Can We Accurately Regulate Chemicals?18. The Dose Makes the Poison19. Are We Ready to Clean Up the Mess?20. Legal Battles21. The Toxicology of WarPart IV: The Unfinished Business of Toxicology22. Opiates and Politics23. The Toxicology of Climate Change24. Animal Models for Human Disease25. Are Animal Cancer Bioassays Reliable?26. Hormone Mimics and Disrupters27. Building Better Tools for Testing28. An Ounce of Prevention Is Worth a Pound of CureNotesIndex

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Book SynopsisFirst book-length treatment of model-based meta-analytic methods for descriptive epidemiologyTable of ContentsFigures Tables Acknowledgments Introduction | by Abraham D. Flaxman, Theo Vos, and Christopher J.L. Murray 1. An Introductory Example 2. A Motivating Example 3. From Systematic Review to Metaregression 4. History of Generic Disease Modeling 5. What is Not in This Book Section One | Theory and Methods 1. Background material on Bayesian methods / Abraham D. Flaxman 1.1 A meta-analysis example 1.2 Another meta-analysis example 1.3 Summary 2. Statistical models for rates, ratios, and durations / Abraham D. Flaxman 2.1 A motivating example 2.2 Binomial model 2.3 Beta-binomial model 2.4 Poisson model 2.5 Negative-binomial mode 2.6 Transformed normal models 2.7 Lower-bound data model 2.8 Quantification of uncertainty 2.9 Comparison 2.10 Summary and future work 3. Age pattern models / Abraham D. Flaxman 3.1 Definition of spline models 3.2 Choosing knots 3.3 Penalized spline models 3.4 Augmenting the spline model 3.5 Summary and future work 4. Expert priors on age patterns / Abraham D. Flaxman 4.1 Priors on level 4.2 Priors on monotonicity 4.3 Priors are not just for splines 4.4 Hierarchical similarity priors on age patterns 4.5 Summary and future work 5. Statistical models for heterogeneous age groups / Abraham D. Flaxman 5.1 Overlapping age-group data 5.2 Midpoint model 5.3 Disaggregation model 5.4 Midpoint model with group width covariate 5.5 Age-standardizing and age-integrating models 5.6 Model comparison 5.7 Summary and future work 6. Covariate modeling / Abraham D. Flaxman 6.1 Cross-walk fixed effects to explain bias 6.2 Predictive fixed effects to improve out-of-sample estimation 6.3 Fixed effects to explain variance 6.4 Random effects for spatial variation 6.5 Covariates and consistency 6.6 Summary and future work 7. Prevalence estimates from other data types / Abraham D. Flaxman 7.1 A motivating example 7.2 System dynamics model of disease in a population 7.3 Endemic equilibrium 7.4 Forward simulation examples 7.5 Summary and future work 8. Numerical algorithms / Abraham D. Flaxman 8.1 Markov chain Monte Carlo 8.2 The Metropolis-Hastings step method 8.3 The Adaptive Metropolis step method 8.4 Convergence of the MCMC algorithm 8.5 Initial values for MCMC 8.6 A meta-analysis example 8.7 Empirical Bayesian priors to borrow strength between regions 8.8 Summary and future work 8.9 Challenges and limitations Section Two | Applications 9. Knot selection in spline models / Yong Yi Lee, Theo Vos, Abraham D. Flaxman, Jed Blore, and Louisa Degenhardt 10. Unclear age pattern, requiring expert priors / Hannah M. Peterson, Yong Yi Lee, Theo Vos, and Abraham D. Flaxman 11. Empirical priors / David Chou, Hannah M. Peterson, Abraham D. Flaxman, Christopher J.L. Murray, and Mohsen Naghavi 12. Overlapping, heterogeneous age groups / Mohammad H. Forouzanfar, Abraham D. Flaxman, Hannah M. Peterson, Mohsen Naghavi, and Sumeet Chugh 13. Dealing with geographical variation / Abraham D. Flaxman, Khayriyyah Mohd Hanaah, Justina Groeger, Hannah M. Peterson, and Steven T. Wiersma 14. Cross-walking with fixed effects / Amanda Baxter, Jed Blore, Abraham D. Flaxman, Theo Vos, and Harvey Whiteford 15. Improving out-of-sample prediction / Ali Mokdad, Abraham D. Flaxman, Hannah M. Peterson, Christopher J.L. Murray, and Mohsen Naghavi 16. Risk factors / Stephen S. Lim, Hannah M. Peterson, and Abraham D. Flaxman 17. The compartmental model / Sarah K. Wulf, Abraham D. Flaxman, Mohsen Naghavi, and Giuseppe Remuzzi 18. Knot selection in compartmental spline models / Marita Cross, Damian Hoy, Theo Vos, Abraham D. Flaxman, and Lyn March 19. Expert priors in compartmental models / Alize Ferrari, Abraham D. Flaxman, Hannah M. Peterson, Theo Vos, and Harvey Whiteford 20. Cause-specific mortality rates / Theo Vos, Jed Blore, Abraham D. Flaxman, Hannah M. Peterson, and Juergen Rehm Conclusion / Abraham D. Flaxman, Christopher J.L. Murray, and Theo Vos Appendix: GBD Study 2010 spatial hierarchy References Contributors About the editors Index

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Book SynopsisTrade ReviewFrom the 1943 reviews:"This book is more than a compendium of data and references from the Old Testament theory of pestilence as a punishment for sin, through the days of demons, miasms, and germs, down to the streamlined concepts of the virus diseases and the new views concerning aerial dissemination of infection. It is an interesting and highly instructive story, rich with the author's interpretations of knowledge regarding the modes and channels of disease spread." —American Journal of Public Health"[This book] will give medical historians matter for discussion . . . the book is for them, really, and for the medical student, who will find in these pages, perhaps for the first time, why the best minds in medicine so delight in the history of its stumbling progress . . . A book nobly concieved, nobly planned, and beautifully written." —Commonweal

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Book SynopsisTrade Review"Snowden's study...is a remarkable piece of historical work. Original, crystal-clear, analytical and passionate, Snowden...takes us to areas historians have rarely visited before. ... This magnificent study, beautifully written and impeccably documented, deserves an audience beyond specialists in history, or in Italy." - John Foot, The GuardianThe Guardian Book of the Week - Saturday 8th April 2006"In The Conquest of Malaria, Snowden traces the early advances, the setbacks of world wars and Fascist dictatorship, and the final victory against malaria after World War II. . . . Comprehensive and enlightening, The Conquest of Malaria also offers important lessons of today's global malaria emergency."—Italian Tribune“Frank Snowden has drawn on neglected Italian sources to produce a detailed account of the protracted struggle to bring malaria under control in Italy. The Conquest of Malaria is an important contribution to the malaria literature. … [An] excellent book…” - Brian Greenwood, Nature"Frank Snowdon's excellent book provides an insightful and illuminating account of how one nation—Italy—undertook the first national campaign to eradicate this debilitating disease. More importantly, The Conquest of Malaria serves as a timely warning to those who advocate simple technological quick fixes to what was (and still is) a complex environmental, social, economic, and political problem."—Andrea Rusnock, IsisWinner of the 2006 Helen and Howard R. Marraro Prize given by the American Historical AssociationWinner of the 2008 Welch Medal, given by the American Association for the History of Medicine.Winner of the 2007 Malaria Award for Book of the Year given by Malaria Foundation International"With this book, Snowden achieves two difficult goals. He demonstrates how important malaria was to the political and social history of Italy to the mid-twentieth century, an aspect of the country’s course underappreciated by its historians. Perhaps more importantly, he has crafted a marvelously detailed case study in the control of malaria, that shows how closely intertwined are the environmental, medical, social and political features of a landscape that nurtures the disease. Whether describing the temporary Fascist victory over malaria in the Pontine Marshes or the deliberate creation of malarial epidemics by retreating Nazis, Snowden’s lively account convinces the reader that as malaria goes, so goes Italy. This is a first rate, valuable book that belongs on the shelf of historian and malariologist alike."—Dr. Margaret Humphreys, Professor of History, Duke University"Frank Snowden's research on Italy's battle against malaria combines a mastery of the scientific literature with a profound understanding of the laws of motion of Italian society and politics."—John Dickie, author of Cosa Nostra: A History of the Italian Mafia“Frank Snowden’s study of the scourge and final eradication of malaria in Italy is a masterpiece. Rigorous, passionate, and highly original, it deserves a wide audience amongst historians and students.”—John Foot, reader in Modern Italian History, Department of Italian, University College London"A highly original and authoritative reconstruction of Italy's historic and sometimes tragic battle with malaria; in its historical sweep, this book brilliantly conceptualizes disease within a political landscape that includes socialists, liberals, feminists, and fascists. A model for research on the history of medicine."—Mary Gibson, City University of New York

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Book SynopsisTrade Review“The Great Plague of 1665 is too often seen as a metropolitan disaster, even though it brought death and dislocation across much of southern and eastern England. This timely study of Cambridge provides a thorough and imaginative account of the crisis which the epidemic inflicted upon the town, describing the impact upon its society and the experiences of individual families. In doing so it makes a valuable addition to both the literature on the Great Plague and the history of the town.”—Stephen Porter, author of The Great Plague“Rich in the sights and sounds and smells of a seventeenth-century city, this is an evocative portrait of a teeming social world shattered by epidemic disease. Evelyn Lord’s adroit and sensitive reconstruction of daily routines and the urban landscape cranks up the tension as plague advances steadily towards its victims. We follow people down winding streets and alleys and peer into homes, finding there pitiful scenes of the dead and the dying and the distressed. Lord’s tale is horrific yet ultimately uplifting as life crowds back into the spaces left by the grim reaper—panic and misery followed by hope and recovery.”—Malcolm Gaskill, author of Witchfinders: A Seventeenth-Century English Tragedy

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Book SynopsisAn urgent case for how we could have stopped the Covid-19 pandemic—and how to make sure it never happens again'MacKenzie's fascinating book gives us the scope and scale to be able to put this pandemic in perspective and, it begs the question, will we learn from this in time to prevent to next one?'—Molly Caldwell Crosby, bestselling author of The American Plague.*Named one of the Best Science Books of the Year by the Financial Times*The Covid-19 pandemic has left a trail of loss, misery, and economic ruin in its wake. With such destruction, can there be any silver lining? As veteran science journalist Debora MacKenzie illuminates in this captivating, acclaimed book, there is one: with the lessons learned from this disaster, we can stop it from happening again.         Here, in this fully revised and updated edition, she lays out the full story in accessible, gripping detail: the previous viruses that should have prepared us, the shocking public health failures that led to this catastrophe, the wrong decisions made at every turn. And employing what we have learned about viruses, vaccines, inequality, global cooperation, and more, she charts a bold, optimistic path forward for protecting humanity from threats to come. There is no question that more viruses are on the way, and we are still unprepared. But if we learn from our mistakes and heed the vision MacKenzie lays out in this book, we might avoid going through a nightmare like this – or worse - ever again.

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Book SynopsisA piercing and scientifically grounded look at the emergence of the coronavirus pandemic and how it will change the way we live—'excellent and timely.' (The New Yorker) Apollo's Arrow offers a riveting account of the impact of the coronavirus pandemic as it swept through American society in 2020, and of how the recovery will unfold in the coming years. Drawing on momentous (yet dimly remembered) historical epidemics, contemporary analyses, and cutting-edge research from a range of scientific disciplines, bestselling author, physician, sociologist, and public health expert Nicholas A. Christakis explores what it means to live in a time of plague—an experience that is paradoxically uncommon to the vast majority of humans who are alive, yet deeply fundamental to our species.Unleashing new divisions in our society as well as opportunities for cooperation, this 21st-century pandemic has upended our lives in ways that will tes

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Book SynopsisA piercing and scientifically grounded look at the emergence of the coronavirus pandemic and how it will change the way we live—'excellent and timely.' (The New Yorker) Apollo's Arrow offers a riveting account of the impact of the coronavirus pandemic as it swept through American society in 2020, and of how the recovery will unfold in the coming years. Drawing on momentous (yet dimly remembered) historical epidemics, contemporary analyses, and cutting-edge research from a range of scientific disciplines, bestselling author, physician, sociologist, and public health expert Nicholas A. Christakis explores what it means to live in a time of plague—an experience that is paradoxically uncommon to the vast majority of humans who are alive, yet deeply fundamental to our species.Unleashing new divisions in our society as well as opportunities for cooperation, this 21st-century pandemic has upended our lives in ways that will tes

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Book SynopsisAn invaluable resource for health professionals and students engaged in research, this thoroughly updated edition provides a guide to the major measures of health and functioning. Measures of subjective health, well-being and quality of life are introduced along with analysis of their validity and reliability and the evidence for using each one. Throughout the book each measure is explained with a summary of how each one is scored and used, making this a one-stop guide to understanding health measurements, and the basic concepts behind measuring health, quality of life and well-being. â A new look and feel makes measures and scales easier to locateâ Further research and evidence provides a greater critique of the measures â Useful source information to help you access each measure with permissionâ The addition of new scales include the Warwick-Edinburgh Wellbeing Scale, the Older Peopleâs Quality of Life Scale and the Short-Form McGillTable of ContentsConcepts Of Functioning And Health, Well-Being And Quality Of LifeTheory Of MeasurementMeasuring Functional AbilityMeasuring Broader Health StatusMeasuring Psychological Well-BeingMeasuring Social Networks And Social SupportMeasuring The Dimensions Of Subjective Well-BeingMeasuring Broader Quality Of Life

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Book SynopsisThis is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction. A top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the rigor of mathematical background Accompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press website Ideal for those willing to move their first steps on the real practice of image reconstruction, with modern scientific programming language and toolsets Daniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa. From 2005 to 2007, he worked at the Department of Physics E. Fermi of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa.Niccolà Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the field of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teaching courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image and Video Processing, Journal of Biomedical and Health Informatics.Table of Contents1. Preliminary notions 2. Short guide on Python samples 3. Analytical reconstruction algorithms 4. Iterative reconstruction algorithms 5. Overview of methods for generation of projection data

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Book SynopsisAlthough the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped. Going beyond the classical Turing scenario of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology: Theory, Models, and Simulation illustrates how mathematical modeling and numerical simulations can lead to greater understanding of these issues. It takes a unified approach to population dynamics and epidemiology by presenting several ecoepidemiological models where both the basic interspecies interactions of population dynamics and the impact of an infectious disease are explicitly considered.The book first describes relevant phenomena in ecology and epidemiology, provides examples of pattern formation in natural systems, and summarizes existing modeling approaches. The authors then explore nonspatial models of population dynamics and epidemiology. They present the main scenarios of spatial and spatiotemporal pattern formation in deterministic models of population dynamics. The book also addresses the interaction between deterministic and stochastic processes in ecosystem and epidemic dynamics, discusses the corresponding modeling approaches, and examines how noise and stochasticity affect pattern formation. Reviewing the significant progress made in understanding spatiotemporal patterning in ecological and epidemiological systems, this resource shows that mathematical modeling and numerical simulations are effective tools in the study of population ecology and epidemiology.Table of ContentsIntroduction. Models of Temporal Dynamics. Spatiotemporal Dynamics and Pattern Formation: Deterministic Approach. Spatiotemporal Patterns and Noise. References. Index.

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Book SynopsisFinding effective methods for mosquito control remains one of the great global challenges facing this generation. Bio-mathematics, Statistics and Nano-Technologies: Mosquito Control Strategies brings together experts from a large array of disciplines in order to provide a comprehensive overview of cutting-edge techniques to model, analyse and combat mosquito-transmitted vector-borne diseases. Features Includes multiple case studies Suitable for scientists and professionals working on methods for mosquito control and epidemiology Provide a much-needed focal point for interdisciplinary discussion Trade Review"I am delighted to see the outputs of this European Union funded collaborative effort in this engaging book format, that is well targeted for both entomology students and vector control practitioners and demonstrates to those across a range of other disciplines how they might engage productively in the debate on how we evolve insect control over the next decades."—Professor Janet Hemingway, from the ForewordTable of Contents1. Introduction and Overview. Section I. Control of Mosquitoes and Their World: An Overview. 2. Practical Control Methods and New Techniques for Mosquito Control. 3. Concepts of the Best Management Practices for Integrated Pest, Mosquito, and Vector Management. 4. Overview of Personal Protection Measures Through the Innovative Use of Repellent-Textiles. 5. Biology, Surveillance and Control of Mosquito Vectors. Section II. Mathematical Modelling Immunity: An Overview based on Malaria. 6. Models of Acquired Immunity to Malaria: A Review. Section III. Mathematical Epidemiology including Mosquito Dynamics and Control Theory. 7. Multi-strain Host-vector Dengue Modelling: Dynamics and Control. 8. Mathematical Models and Optimal Control in Mosquito Transmitted Diseases. Section IV. Topological Studies: Topology Meets Mosquito Control. 9. On The Shape and Design of Mosquito Abatement Districts. Section V. Chemometric and Mathematical Approach for Modelling and Designing Mosquito Repellents. 10. A Multiplatform Chemometric Approach to Molecular and Mathematical Modeling of Mosquito Repellents. Section VI. Pharmacy Meets Mosquito Control: Using Pharmacological Tools Combating Mosquito Transmitted VBDs. 11. Pharmacological Approach to Combat Mosquito Transmitted Malaria. Section VII. Using Natural Oils Combatting Mosquitos: An Overview. 12. Plant based Repellents: Green Mosquito Control. 13. Micrcencapsulation of Essential Oils for Antimicrobial Function and Mosquito Repellency. Section VIII. Textiles and Paints as Mosquito Control Tools. 14. Mosquito Repellent against Anopheles SPP. and Aedes Aegypti on Cotton Fabric. 15. Silica-Based Organic-Inorganic Hybrid Treatments as Anti-Mosquito Textile Finishing. 16. Cotton and Polyester Fabrics Plasma Coated with Hydrogenated Amorphous Carbon Films. Section IX. Testing Methods for Treated Textiles with Mosquito-Repellents: An Overview. 17. Testing Methods for Mosquito-Repellent Treated Textiles. Section X. Case Studies: Putting the Knowledge into Action. 18. A Case Study: How the Rephaiah Project Combats Malaria in Young Children. 19. Strengthening the control of mosquito vectors in Cabo Verde; New Approaches to Improve Intervention Strategies.

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Book SynopsisMeta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics.Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data.Key featuresRigorous coverage of tTrade Review"Handbook of Meta-Analysis is a most laudable and detailed treatise on meta-analysis. It successfully covers – with gusto and substance – the full range of statistical methodology used in meta-analysis in a statistically rigorous and up-to-date manner, exuding a good balance of theory and applications (with real data and software syntax provided). It provides a comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis. Crafted by experts on the topic, each chapter is written with lucidity and surgical precision. It is elegantly organized, encyclopedic in breadth and depth, and fluent in exposition on the multidimensional role of meta-analysis: core material (background, systematic review process, data extraction, study-level results, frequent and Bayesian approaches); key extensions (meta-regression, individual data, multivariate meta-analysis, network meta-analysis, model checking, bias); and advances in particular fields of biomedical and social research (control risk regression, survival data, correlation matrices, genetic data, dose-response relationships, diagnostic tests, surrogate endpoints, complex observational data, prognostic models). It is a tour de force, a premier, and an indispensable reference that is highly recommended – and a must for serious researchers and practitioners engaged in meta-analysis. This state-of-the-science handbook is destined to be a classic."- Joseph C. Cappelleri, PhD, MPH, MS, Executive Director of Biostatistics, Pfizer Inc "For many researchers in social, medical, life and environmental sciences, it has become an essential part of their activities to synthesize evidence from the body of relevant research. The Handbook of Meta-analysis provides the most comprehensive and up-to-date coverage of the quantitative part of evidence synthesis, i.e., meta-analysis. Therefore, this handbook is a must-have for all researchers who wish to unlock and understand the power and potential of meta-analysis, but also for those who have already found and benefited from it. The authors of this edited volume are an interdisciplinary all-star team of statisticians and methodologists; probably, each of them could have written a textbook on meta-analysis. Here, they introduce both basics and advanced techniques that they have been leading to develop over their career. For many statisticians, a meta-analysis may be just one type of linear models (Chapters 1-11), yet, as this book demonstrates, meta-analyses can come in diverse forms and serve different purposes (see Chapters 14-22). Further, there are specific statistical issues meta-analysis needs to grapple with, such as publication bias (Chapters 12-13). The book ends with a chapter on how to use meta-analysis to plan our future work (Chapter 23) – what all scientists should be doing to reduce research waste and to accelerate scientific progress."- Shinichi Nakagawa, Professor of Evolutionary Biology and Synthesis, University of New South Wales, Sydney, Australia "This is an important book on an important subject, covering both theory and application, and it should be valuable to a wide range of readers in statistics and applied fields."- Andrew Gelman, Columbia University "...The Handbook of Meta-Analyses is a “must have” resource for: 1) statisticians, other professionals, and students conducting statistical research in meta-analysis; 2) practitioners conducting meta-analyses as part of systematic reviews or otherwise; and 3) educators and students who want to either start, or continue, to learn more about meta-analysis. The breadth and depth of up-to-date coverage of meta-analysis methods, wide range of areas of application, and examples, including online software code and data, is impressive. The contents are weighted towards frequentist strategies, but Bayesian strategies are highlighted in the core materials and revisited elsewhere. The Handbook is a pleasure to read. The editors and other co-authors guide the reader in a cohesive, unified fashion, from the foundational core material through increasingly sophisticated and wider ranging methods and applications. Their tone is conversational, with forwards-and-backwards sign-posting which integrates the contents in a tutorial-like fashion. Statistical notation is used with purpose, without excess, while maintaining statistical rigor in content. An abundance of graphs, figures, and tables reinforce the statistical concepts and methods, and visualize the examples. Both novice and more experienced readers will benefit...The Handbook of Meta-Analysis is a significant contribution which provides a palpable opportunity to improve future decision-making and policy setting."- Thomas Bradstreet, Appeared in the Journal of Biopharmaceutical Statistics "The handbook is intended for a relatively wide audience of statisticians, to be used as a textbook in a graduate course, as a reference book, a handbook or an introduction. The first part easily accomplishes these aims. There is a fair number of formulas, but they are well-explained and thus the text should be accessible for any statistician or quantitative researcher." -Anikó Lovik, International Society for Clinical Biostatistics, 72, 2021 Table of Contents1. Introduction to systematic review and meta-analysis2. General themes in meta-analysis3. Choice of effect measure and issues in extracting outcome data4. Analysis of univariate study-level summary data using normal models5. Exact likelihood methods for group-based summaries6. Bayesian methods for meta-analysis7. Meta-regression 8. Individual participant data meta-analysis9. Multivariate meta-analysis10. Network meta-analysis11. Model Checking in meta-analysis12. Handling internal and external biases: quality and relevance of studies13. Publication and outcome reporting bias14. Control risk regression15. Multivariate meta-analysis of survival proportions16. Meta-analysis of correlations, correlation matrices and their functions17. The meta-analysis of genetic studies18. Meta-analysis of dose-response relationships19. Meta-analysis of diagnostic tests20. Meta-analytic approach to evaluation of surrogate endpoints21. Meta-analysis of epidemiological data, with a focus on individual participant data22. Meta-analysis of prediction models23. Using meta-analysis to plan further research

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Biomechanics applies the laws and techniques of mechanics in the study of biological systems and related phenomena. Biomechanics uses mathematical and computational tools such as model construction of musclo-skeletal system, body fluid circulation, to aid medical diagnosis, therapeutics and surgery planning, designing of prostheses and implants or in tissue engineering. Present book targets specific topics pertaining to the biomechanics of soft tissues. Subjects addressed includes solids and multi-species mixtures as open systems: a continuum mechanics perspective; electro-chemo-mechanical couplings: tissues with a fixed electric charge and growth of biological tissues.

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Book SynopsisComputational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading:You will have the basics of R and be able to dive right into specialized uses of R Trade Review'This book provides a basic overview of computational tools developed in R for carrying out data analyses in genomics. It can be a valuable companion for anyone whowants to utilise the computational tools developed within the Bioconductor and R environments for education and research. This book’s main target audience are students of computational biology to get a first look at the diversity of machine learning methods. Thebook will also servewell biomedical researchers needing a guide to packages that can help them with the analysis of data that they encounter in their work.' - Krzysztof Podgórski, International Statistical Review (2021) doi: 10.1111/insr.12453 Table of Contents Introduction to Genomics. 2. Introduction to R for Genomic Data Analysis 3. Statistics for Genomics 4. Exploratory Data Analysis with Unsupervised Machine Learning 5. Predictive Modeling with Supervised Machine Learning 6. Operations on Genomic Intervals and Genome Arithmetic 7. Quality Check, Processing and Alignment of High-throughput Sequencing Reads 8. RNA-seq Analysis 9. ChIP-seq analysis 10. DNA methylation analysis using bisulfite sequencing 11. Multi-omics Analysis.

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Book SynopsisA health disparity refers to a higher burden of illness, injury, disability, or mortality experienced by one group relative to others attributable to multiple factors including socioeconomic status, environmental factors, insufficient access to health care, individual risk factors, and behaviors and inequalities in education. These disparities may be due to many factors including age, income, and race. Statistical Methods in Health Disparity Research will focus on their estimation, ranging from classical approaches including the quantification of a disparity, to more formal modeling, to modern approaches involving more flexible computational approaches.Features: Presents an overview of methods and applications of health disparity estimation First book to synthesize research in this field in a unified statistical framework Covers classical approaches, and builds to more modern computational techniques Table of Contents1. Basic Concepts. 2. Overall Estimation of Health Disparities. 3. Domain-specific Estimates. 4. Causality, Moderation and Meditation. 5. Machine Learning Based Approaches to Disparity Estimation. 6. Health Disparity Estimation Under a Precision Medicine Paradigm. 7. Extended Topics.

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Book SynopsisDisease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distinctive challenges primarily due to their sequential decision-making nature and complex data structures. Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance explores numerous recent analytic methodologies that enhance traditional techniques. The author, a prominent researcher specializing in innovative sequential decision-making techniques, demonstrates how these novel methods effectively address the challenges of DSDS.After a concise introduction that lays the groundwork for comprehending the challenges inherent in DSDS, the book delves into fundamental statistical concepts and methods relevant to DSDS. This includes exploration of statistical process control (SPC) charts specifically crafted for sequential decision-making purposes. The subsequent chapters systematically outline recent advancements in dynamic scre

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Book SynopsisIntelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pan

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